🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnbs business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make:We are looking for a hands-on expert to provide technical leadership in addressing BizTechs diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTechs critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnbs Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities:Lead the design, implementation, and testing of data systems, from architecture to production.Build batch and real-time data systems that support business needs and critical products.Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.Design and optimize data models to efficiently meet business and product requirements.Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.Contribute to long-term data strategies and influence data engineering practices across the organization.Mentor and guide team members, fostering best practices for data quality and governance.Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.Your Expertise:9+ years of relevant experience with a Bachelor's/Masters degree in CS/EE (or 6+ years with a PhD).Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.Proven track record of designing and optimizing batch and real-time data pipelines.Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).Experience with integrating machine learning models into data systems (preferred).Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.